khaos
Bayesian Sparse Polynomial Chaos Expansion
Implements Bayesian polynomial chaos expansion methods for surrogate modeling, uncertainty quantification, and sensitivity analysis. Includes sparse regression-based approaches and adaptive Bayesian models based on reversible-jump Markov chain Monte Carlo. Optional screening and basis-enrichment strategies are provided to improve scalability in moderate to high dimensions.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.1 |
rolling linux/jammy R-4.5 | khaos_2.1.1.tar.gz |
205.7 KiB |
2.1.1 |
rolling linux/noble R-4.5 | khaos_2.1.1.tar.gz |
206.0 KiB |
2.1.1 |
rolling source/ R- | khaos_2.1.1.tar.gz |
51.3 KiB |
2.1.1 |
latest linux/jammy R-4.5 | khaos_2.1.1.tar.gz |
205.7 KiB |
2.1.1 |
latest linux/noble R-4.5 | khaos_2.1.1.tar.gz |
206.0 KiB |
2.1.1 |
latest source/ R- | khaos_2.1.1.tar.gz |
51.3 KiB |
2.1.1 |
2026-04-26 source/ R- | khaos_2.1.1.tar.gz |
51.3 KiB |
2.1.1 |
2026-04-23 source/ R- | khaos_2.1.1.tar.gz |
0 B |